Pipeline Scheduler Support Analyst

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  • Construction
  • FlexTime

We are looking for Pipeline Scheduler Support Analyst for our client in Allentown, PA / Houston, TX

Job Title: Pipeline Scheduler Support Analyst

Job Location: Allentown, PA / Houston, TX

Job Type: Contract

Job Description:

Pay Range: $50hr – $55hr

Responsibilities:

  • Provide Level 1 and Level 2 support for the Pipeline Scheduler application, including incident resolution, user access management, and system monitoring.
  • Troubleshoot and resolve application issues related to batch jobs, data flow, and integration with systems like T4 and Nest databases.
  • Maintain and update Excel VBA-based scheduling tools, ensuring configuration integrity and macro functionality.
  • Collaborate with schedulers to support daily operations such as exporting, editing, and publishing pipeline schedules.
  • Participate in patching activities, nightly audits, and compliance checks within the AVD environment.
  • Document support procedures, architecture diagrams, and user guides.
  • Coordinate with development teams for issue escalation and resolution.
  • Monitor ticket queues and ensure timely resolution or escalation of issues.
  • Participate in on-call rotations and support activities outside regular business hours as needed.

Required Skills and Experience:

  • 6 8 years of experience in application support, preferably in the energy or midstream sector.
  • Proficiency in SQL (Level 3) and Visual Basic (Level 2) for data handling and script maintenance.
  • Experience with pipeline scheduling tools (e.g., Scheduling App, PLS) and understanding of terminal operations.
  • Familiarity with AVD environments, Active Directory group management, and Excel-based automation.
  • Strong analytical and problem-solving skills with the ability to reverse-engineer complex code.
  • Excellent communication and documentation skills.

Preferred Qualifications:

  • Experience with Transport 4, Nest, and T4 systems.
  • Knowledge of midstream energy operations and pipeline logistics.
  • Exposure to RPA, integration workflows, and data quality management.